CN109150364A - Mobile terminal and its interference noise estimation method, computer readable storage medium - Google Patents
Mobile terminal and its interference noise estimation method, computer readable storage medium Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
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- H04J11/005—Interference mitigation or co-ordination of intercell interference
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Abstract
A kind of mobile terminal and its interference noise estimation method, computer readable storage medium, the interference noise estimation method include: the corresponding autocorrelation matrix of signal that receives described in calculating according to the signal received；Calculate the corresponding autocorrelation matrix of service signal that serving cell is sent；The corresponding autocorrelation matrix of the signal received autocorrelation matrix corresponding with the service signal that the serving cell is sent is subtracted each other, first interference and noise covariance matrix of the obtained difference as the mobile terminal.Above scheme can be improved the precision of interference and noise covariance matrix that estimation obtains.
Description
Technical field
The present invention relates to mobile communication field more particularly to a kind of mobile terminal and its interference noise estimation method, calculate
Machine readable storage medium storing program for executing.
Background technique
AF panel merges (Interference Reject Combine, IRC) method can make full use of in receiving end
Diversity is received to eliminate the interference of minizone, the handling capacity of wireless communication system can be effectively improved.Inhibited using IRC method
The key of interference is to be interfered and noise covariance matrix.
Currently, in third generation partner program (3rdGeneration Partnership Project, 3GPP) length
In phase evolution (Long Term Evolution, LTE), estimate to obtain interference and noise covariance square using the signal received
Battle array.
When estimating to obtain interference with noise covariance matrix using the above method, computation complexity is lower, but error compared with
Greatly, performance loss is caused to increase.
Summary of the invention
The technical issues of embodiment of the present invention solves is how to improve the interference and noise covariance matrix that estimation obtains
Precision.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of interference noise estimation method of mobile terminal, packet
It includes: according to the signal received, the corresponding autocorrelation matrix of the signal received described in calculating；Calculate the industry that serving cell is sent
The corresponding autocorrelation matrix of business signal；The corresponding autocorrelation matrix of the signal received and the serving cell are sent
The corresponding autocorrelation matrix of service signal subtracts each other, first interference and noise covariance of the obtained difference as the mobile terminal
Matrix.
Optionally, using the corresponding autocorrelation matrix of signal received described in the calculating of following formula:
Wherein, R1 is the corresponding autocorrelation matrix of signal received, and K is needed for calculating first interference and noise covariance matrix
Business RE number, rkFor the signal received, rk *For rkConjugation,
ρSFor the service signal transmission power of serving cell and the ratio of emission power of pilot signal, ρIFor the service signal of interfered cell
The ratio of transmission power and emission power of pilot signal,For the pre-coding matrix of the corresponding serving cell of k-th of business RE,For the pre-coding matrix of the corresponding interfered cell k-th of business RE,To estimate that k-th obtained of business RE is corresponding
Serving cell channel matrix,To estimate the obtained corresponding interfered cell channel matrix of k-th of business RE,It is k-th
The service signal of the corresponding serving cell of business RE,For the service signal of the corresponding interfered cell k-th of business RE, nkIt is
The corresponding noise of k business RE, 1≤k≤K.
Optionally, the corresponding autocorrelation matrix of service signal that the serving cell is sent is calculated using following formula:Wherein, R2 is the service signal that the serving cell is sent
Corresponding autocorrelation matrix.
Optionally, after the first interference for obtaining the mobile terminal with noise covariance matrix, further includes: to described
First interference is compensated with noise covariance matrix.
Optionally, described that first interference is compensated with noise covariance matrix, comprising: to be led according to what is received
Frequency signal is estimated to obtain the second interference of the mobile terminal and noise covariance matrix；According in the signal received
The service signal and noise signal of interfered cell, estimation obtain third interference and the noise covariance square of the mobile terminal
Battle array；Calculate separately corresponding with noise covariance matrix the first degree of reiability value of first interference, second interference and
The corresponding second degree of reiability value of noise covariance matrix and third interference corresponding with noise covariance matrix the
Three degree of reiability values；The respectively described first degree of reiability value distributes the first weighting coefficient, is the second reliability degree
Magnitude distributes the second weighting coefficient and distributes third weighting coefficient for the third degree of reiability value；First weighting system
The sum of several, described second weighting coefficient and the third weighting coefficient are 1；By first weighting coefficient and first interference
It is multiplied with noise covariance matrix, obtains the first product, by second weighting coefficient and second interference and noise association side
Poor matrix multiple obtains the second product, and the third weighting coefficient is interfered with the third and is multiplied with noise covariance matrix,
Obtain third product；First product, second product and the third sum of products are calculated, as compensated
One interference and noise covariance matrix.
Optionally, estimate to obtain the second interference and the noise covariance matrix of the mobile terminal using following formula:Wherein, Rnormal,1It is assisted for second interference with noise
Variance matrix, K are to calculate second interference and pilot tone RE number needed for noise covariance matrix, rkIt is described to receive
Signal and To estimate the obtained corresponding serving cell channel of k-th of pilot tone RE
Matrix,To estimate the obtained corresponding interfered cell channel matrix of k-th of pilot tone RE,It is corresponding for k-th of pilot tone RE
The pilot signal of serving cell,For the pilot signal of the corresponding interfered cell k-th of pilot tone RE, nkFor k-th RE pairs of pilot tone
The noise answered,ForConjugate transposition, 1≤k≤K.
Optionally, estimate to obtain third interference and the noise covariance matrix of the mobile terminal using following formula:Wherein, Rnormal,2For third interference
With noise covariance matrix, K is to calculate the third interference and business RE number needed for noise covariance matrix,For
Estimate the obtained corresponding serving cell channel matrix of k-th of business RE,To estimate that k-th obtained of business RE is corresponding
Interfered cell channel matrix, ρIFor the service signal transmission power of the interfered cell and the ratio of emission power of pilot signal
Value,For the pre-coding matrix of the corresponding interfered cell k-th of business RE, RnFor the corresponding association of noise on k-th of business RE
Variance matrix.
Optionally, described to calculate the first degree of reiability value, comprising: to calculate first interference and noise covariance
All elements product and real part real1 is taken on matrix leading diagonal；Obtain first interference and noise covariance matrix master couple
The counter-diagonal element of 2*2 matrix on linea angulata calculates the product of the acquired counter-diagonal element and takes real part real2；
Real1 and real2 is subjected to division arithmetic, obtained quotient is as the first degree of reiability value.
Optionally, described to calculate the second degree of reiability value, comprising: to calculate second interference and noise covariance
All elements product and real part real3 is taken on matrix leading diagonal；Obtain second interference and noise covariance matrix master couple
The counter-diagonal element of 2*2 matrix on linea angulata calculates the product of the acquired counter-diagonal element and takes real part real4；
Real3 and real4 is subjected to division arithmetic, obtained quotient is as the second degree of reiability value.
Optionally, described to calculate the third degree of reiability value, comprising: to calculate the third interference and noise covariance
All elements product and real part real5 is taken on matrix leading diagonal；Obtain the third interference and noise covariance matrix master couple
The counter-diagonal element of 2*2 matrix on linea angulata calculates the product of the acquired counter-diagonal element and takes real part real6；
Real5 and real6 is subjected to division arithmetic, obtained quotient is as the third degree of reiability value.
The embodiment of the invention also provides a kind of mobile terminals, comprising: the first computing unit, for according to the letter received
Number, the corresponding autocorrelation matrix of the signal received described in calculating；Second computing unit, for calculating the industry of serving cell transmission
The corresponding autocorrelation matrix of business signal；Interference and noise covariance matrix determination unit, for by the signal pair received
The autocorrelation matrix answered autocorrelation matrix corresponding with the service signal that the serving cell is sent subtracts each other, obtained difference conduct
First interference of the mobile terminal and noise covariance matrix.
Optionally, first computing unit, for corresponding certainly using the signal received described in the calculating of following formula
Correlation matrix:Wherein, R1 is the corresponding autocorrelation matrix of signal received, and K is to calculate
First interference and business RE number needed for noise covariance matrix, rkFor the signal received, rk *For rkBe total to
Yoke,ρSFor the service signal transmission power and pilot tone of serving cell
The ratio of signal transmission power, ρIFor the service signal transmission power of interfered cell and the ratio of emission power of pilot signal,
For the pre-coding matrix of the corresponding serving cell of k-th of business RE,For the precoding of the corresponding interfered cell k-th of business RE
Matrix,To estimate the obtained corresponding serving cell channel matrix of k-th of business RE,To estimate k-th obtained
The corresponding interfered cell channel matrix of business RE,For the service signal of the corresponding serving cell of k-th of business RE,For kth
The service signal of the corresponding interfered cell a business RE, nkFor the corresponding noise of k-th of business RE, 1≤k≤K.
Optionally, second computing unit, for calculating the business letter that the serving cell is sent using following formula
Number corresponding autocorrelation matrix:Wherein, R2 is the service
The corresponding autocorrelation matrix of pilot signal that cell is sent.
Optionally, the mobile terminal further include: compensating unit, for obtaining first interference and noise covariance
After matrix, first interference is compensated with noise covariance matrix.
Optionally, the compensating unit, for estimating to obtain the of the mobile terminal according to the pilot signal that receives
Two interference and noise covariance matrix；Believed according to the service signal of the interfered cell in the signal received and noise
Number, estimation obtains third interference and the noise covariance matrix of the mobile terminal；Calculate separately first interference and noise
The corresponding first degree of reiability value of covariance matrix, second interference the second reliability corresponding with noise covariance matrix
Metric and the third interfere third degree of reiability value corresponding with noise covariance matrix；Respectively described first can
The first weighting coefficient is distributed by property metric, the second weighting coefficient is distributed for the second degree of reiability value and is described the
Three degree of reiability values distribute third weighting coefficient；First weighting coefficient, second weighting coefficient add with the third
The sum of weight coefficient is 1；First weighting coefficient is multiplied with first interference with noise covariance matrix, first is obtained and multiplies
Second weighting coefficient is interfered with described second and is multiplied with noise covariance matrix, obtains the second product by product, by described the
Three weighting coefficients are interfered with the third to be multiplied with noise covariance matrix, obtains third product；Calculate first product, institute
The second product and the third sum of products are stated, as compensated first interference and noise covariance matrix.
Optionally, the compensating unit, for estimate to obtain using following formula the second interference of the mobile terminal with
Noise covariance matrix:Wherein, Rnormal,1It is described
Two interference and noise covariance matrix, K are to calculate second interference and pilot tone RE number needed for noise covariance matrix, rk
For the signal received and To estimate that k-th obtained of pilot tone RE is corresponding
Serving cell channel matrix,To estimate the obtained corresponding interfered cell channel matrix of k-th of pilot tone RE,For kth
The pilot signal of the corresponding serving cell of a pilot tone RE,For the pilot signal of the corresponding interfered cell k-th of pilot tone RE, nkFor
The corresponding noise of k-th of pilot tone RE,ForConjugate transposition, 1≤k≤K.
Optionally, the compensating unit, for estimate to obtain using following formula the third interference of the mobile terminal with
Noise covariance matrix:Wherein, Rnormal,2
For third interference and noise covariance matrix, K is to calculate the third interference and business needed for noise covariance matrix
RE number,To estimate the obtained corresponding serving cell channel matrix of k-th of business RE,To estimate obtained kth
The corresponding interfered cell channel matrix of a business RE, ρIIt is sent out for the service signal transmission power and pilot signal of the interfered cell
The ratio of power is penetrated,For the pre-coding matrix of the corresponding interfered cell k-th of business RE, RnFor making an uproar on k-th of business RE
The corresponding covariance matrix of sound.
Optionally, described to calculate the first degree of reiability value, comprising: to calculate first interference and noise covariance
All elements product and real part real1 is taken on matrix leading diagonal；Obtain first interference and noise covariance matrix master couple
The counter-diagonal element of 2*2 matrix on linea angulata calculates the product of the acquired counter-diagonal element and takes real part real2；
Real1 and real2 is subjected to division arithmetic, obtained quotient is as the first degree of reiability value.
Optionally, described to calculate the second degree of reiability value, comprising: to calculate second interference and noise covariance
All elements product and real part real3 is taken on matrix leading diagonal；Obtain second interference and noise covariance matrix master couple
The counter-diagonal element of 2*2 matrix on linea angulata calculates the product of the acquired counter-diagonal element and takes real part real4；
Real3 and real4 is subjected to division arithmetic, obtained quotient is as the second degree of reiability value.
Optionally, described to calculate the third degree of reiability value, comprising: to calculate the third interference and noise covariance
All elements product and real part real5 is taken on matrix leading diagonal；Obtain the third interference and noise covariance matrix master couple
The counter-diagonal element of 2*2 matrix on linea angulata calculates the product of the acquired counter-diagonal element and takes real part real6；
Real5 and real6 is subjected to division arithmetic, obtained quotient is as the third degree of reiability value.
The embodiment of the invention also provides a kind of computer readable storage mediums, execute when the computer instruction is run
The step of stating the interference noise estimation method of any mobile terminal.
The embodiment of the invention also provides a kind of mobile terminal, including memory and processor, stored on the memory
There is the computer instruction that can be run on the processor, the processor runs the computer instruction and executes any of the above-described kind
The step of interference noise estimation method of the mobile terminal.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that
By the corresponding autocorrelation matrix of the signal received autocorrelation matrix phase corresponding with the service signal of serving cell
Subtract, interferes the first interference corresponding with noise signal and noise covariance square so as to be calculated in the signal received
Battle array, thus it is available to accurate interference and noise covariance matrix, therefore can effectively improve and estimate obtained interference and make an uproar
The precision of sound covariance matrix.
Further, after obtaining the first interference and noise covariance matrix, in conjunction with the second interference and noise covariance square
Battle array and third interference and noise covariance matrix compensate the first obtained interference with noise covariance matrix, thus
The precision of interference and noise covariance matrix can further be improved.
Detailed description of the invention
Fig. 1 is the flow chart of the interference noise estimation method of one of embodiment of the present invention mobile terminal；
Fig. 2 is the structural schematic diagram of one of embodiment of the present invention mobile terminal.
Specific embodiment
In the prior art, it generallys use the signal received to estimate to be interfered and noise covariance matrix, such as following formula (1)
It is shown:
In formula (1), Rnormal,1For the interference estimated using the signal received and noise covariance matrix, K is estimation interference
With pilot tone RE number, r needed for noise covariance matrixkFor the signal received and To estimate the obtained corresponding serving cell channel matrix of k-th of pilot tone RE,To estimate k-th obtained of pilot tone
The corresponding interfered cell channel matrix of RE,For the pilot signal of the corresponding serving cell of k-th of pilot tone RE,It is led for k-th
The pilot signal of the corresponding interfered cell frequency RE, nkFor the corresponding noise of k-th of pilot tone RE,ForConjugate transposition, 1≤k≤K.
It is found that there is no in view of interfered cell when estimation obtains interference with noise covariance matrix from formula (1)
The influence of pre-coding matrix.When the pre-coding matrix of interfered cell is non-unity battle array, the interference estimated and noise association side
The accuracy of poor matrix is poor, is affected to system performance.
In embodiments of the present invention, by the service signal pair of the signal received corresponding autocorrelation matrix and serving cell
The autocorrelation matrix answered subtracts each other, and interferes the first interference corresponding with noise signal so as to be calculated in the signal received
It is therefore available to accurate interference and noise covariance matrix with noise covariance matrix, therefore can effectively improve estimation
The precision of obtained interference and noise covariance matrix.
It is understandable to enable above-mentioned purpose of the invention, feature and beneficial effect to become apparent, with reference to the accompanying drawing to this
The specific embodiment of invention is described in detail.
The embodiment of the invention provides a kind of interference noise estimation methods of mobile terminal, referring to Fig.1, below by way of specific
Step is described in detail.
Step S101, according to the signal received, the corresponding autocorrelation matrix of the signal received described in calculating.
In practical applications it is found that in the signal that mobile terminal receives, signal, interference including serving cell transmission are small
The signal and noise signal that area is sent.
In specific implementation, the signal vector that mobile terminal receives on k-th of RE is rk, rkIt can be expressed as following formula
(2):
In formula (2),It is expressed as the corresponding efficient channel matrix of the corresponding serving cell of k-th of RE, efficient channel matrix
Including actual channel matrix and pre-coding matrix；For the signal of the corresponding serving cell of k-th of RE；It is expressed as k-th
The corresponding efficient channel matrix in the corresponding interfered cell RE；For the signal of the corresponding interfered cell k-th of RE；nkIt is k-th
The corresponding noise signal of RE；1≤k≤K, K are the number for execute interference with RE needed for noise covariance estimation.
In LTE system, mobile terminal generallys use pilot signal to estimate the channel of serving cell, and pilot signal can be with
For cell special reference (Cell-specific Reference Signals, CRS).Estimate obtained serving cell
Channel matrix isEstimate that the obtained channel matrix of interfered cell isThen received in k-th of business RE
Signal vector rkFollowing formula (3) can be converted to by above formula (2):
Wherein, ρSFor the service signal transmission power of serving cell and the ratio of emission power of pilot signal, ρIIt is small to interfere
The service signal transmission power in area and the ratio of emission power of pilot signal,For the corresponding serving cell of k-th of business RE
Pre-coding matrix,For the pre-coding matrix of the corresponding interfered cell k-th of business RE.
According to formula (3), the signal vector r received in k-th of pilot tone REkIt can simplify as following formula (4):
In formula (4),For the pilot signal of the corresponding serving cell of k-th of pilot tone RE；It is corresponding for k-th of pilot tone RE
Interfered cell pilot signal.
It should be noted that in formula (3), rkFor the signal vector received on k-th of business RE,For k-th of industry
The service signal of the corresponding serving cell of business RE,For the service signal of the corresponding interfered cell k-th of business RE.And in formula
(4) in, rkFor the signal vector received on k-th of pilot tone RE,Believe for the pilot tone of the corresponding serving cell of k-th of pilot tone RE
Number,For the pilot signal of the corresponding interfered cell k-th of pilot tone RE.
In specific implementation, the corresponding autocorrelation matrix of the signal received is calculated, refers to k-th of industry that calculating receives
The corresponding autocorrelation matrix of signal of business RE, rather than calculate the corresponding auto-correlation square of signal of k-th of the pilot tone RE received
Battle array.
Therefore, in embodiments of the present invention, when calculating the corresponding autocorrelation matrix of the signal that receives, refer to calculating formula
(3) r inkCorresponding autocorrelation matrix.
In specific implementation, the corresponding auto-correlation square of signal of k-th of the business RE received is calculated using following formula (5)
Battle array:
In formula (5), the corresponding autocorrelation matrix of signal that R1 is k-th of business RE being calculated, and the r in formula (5)k
For the r in formula (3)k。
Step S102 calculates the corresponding autocorrelation matrix of service signal that the serving cell is sent.
In practical applications it is found that the signal of k-th of business RE includes service signal, the interfered cell that serving cell is sent
The service signal and noise signal of transmission.Mobile terminal can know the service signal that serving cell is sent in advance, therefore, move
The corresponding autocorrelation matrix of service signal of serving cell transmission is calculated in dynamic terminal.
In specific implementation, convolution (4), the corresponding autocorrelation matrix of service signal that serving cell is sent can use
Following formula (6) is calculated:
Wherein, R2 is the corresponding autocorrelation matrix of service signal that serving cell is sent.
Step S103 believes the business that the corresponding autocorrelation matrix of the signal received and the serving cell are sent
Number corresponding autocorrelation matrix subtracts each other, first interference and noise covariance matrix of the obtained difference as the mobile terminal.
In specific implementation, for k-th of business RE, other than the service signal that serving cell is sent, others letter
It number can be regarded as interference and noise signal.Therefore, service can be removed by the corresponding autocorrelation matrix of the signal received
Part except the corresponding autocorrelation matrix of service signal that cell is sent, the first interference and noise association side as mobile terminal
Poor matrix.
Therefore, in specific implementation, the first interference of mobile terminal and noise covariance matrix such as following formula (7) are shown:
In formula (7), RproposedFor the first interference and noise covariance matrix.
In the prior art, in the LTE of 3GPP, two kinds of methods for calculating interference with noise covariance matrix: side are proposed
Method one is to directly adopt the pilot signal received to estimate to be interfered and noise covariance matrix；It is received according to method two
Signal in interfered cell service signal and noise signal, estimation interfered and noise covariance matrix.
In practical applications, for method one, the interference and noise covariance matrix being calculated are referred to formula (1) institute
Show.For method two, the interference and noise covariance matrix being calculated are referred to following formula (8):
In formula (8), Rnormal,2According to interfered cell in the signal that receives service signal and noise signal estimate
Obtained noise interference covariance matrix is counted,For the pre-coding matrix of the corresponding interfered cell k-th of business RE.
Due to estimating the ρ of interfered cellIWithComputational complexity is higher in practical implementations, thus can to formula (8) into
Row simplifies, and obtains formula (9):
In formula (9),ForConjugate transposition, RnFor the corresponding covariance square of noise on k-th of business RE
Battle array.
Although interference and noise covariance matrix, formula (1) or formula (9) can be calculated using above formula (1) or formula (9)
In, the pre-coding matrix of interfered cell is not accounted forInfluence.And in practical applications it is found that when interfered cell
Pre-coding matrixWhen for non-unity battle array, the error of obtained interference and noise covariance matrix is larger, to the shadow of system performance
Sound is larger.
And in embodiments of the present invention, when the first interference for calculating mobile terminal is with noise covariance matrix, will receive
To the corresponding autocorrelation matrix of signal autocorrelation matrix corresponding with the service signal of serving cell subtract each other, without know it is dry
On the basis of the pre-coding matrix for disturbing cell, the calculating of interference with noise covariance matrix is carried out.Because for mobile terminal
Speech, the pre-coding matrix of interfered cell belongs to a part of interference and noise, therefore, by the corresponding auto-correlation of the signal received
The first interference obtained when matrix autocorrelation matrix corresponding with the service signal of serving cell subtracts each other and noise covariance matrix
It is middle that there are the corresponding parameters of the pre-coding matrix of interfered cell, therefore, compared with the prior art for, mentioned in the embodiment of the present invention
The interference noise estimation method of the mobile terminal of confession can effectively improve the precision of interference and noise covariance matrix.
In specific implementation, when the interference of estimation first is with noise covariance matrix, using resource block (Resource
Block, RB) in whole business RE or partial service RE carry out.Due to the business RE Limited Number in single RB, adopt
With formula (7) although the first interference being calculated is higher with noise covariance matrix precision, but still there is a certain error.For into
One step improves the precision for the first interference and noise covariance matrix that estimation obtains, can also be to the first obtained interference and noise
Covariance matrix compensates.
In specific implementation, first it can estimate to obtain the second interference of mobile terminal and make an uproar according to the pilot signal received
Sound covariance matrix is estimated later further according to the service signal and noise signal of the interfered cell in the signal received
Third interference and noise covariance matrix to mobile terminal.
The second interference and the noise covariance matrix for the mobile terminal estimated according to the signal received are Rnormal,1,
Specific calculation formula is referring to formula (1)；According to the service signal and noise signal of the interfered cell in the signal received, estimate
It counts obtained third interference and noise covariance matrix is Rnormal,2, specific calculation formula is referred to formula (8) or formula (9).
Later, the first interference the first degree of reiability value corresponding with noise covariance matrix, the second interference are calculated separately
And the corresponding second degree of reiability value of noise covariance matrix and third interfere third corresponding with noise covariance matrix
Degree of reiability value.According to the size of value, respectively the first degree of reiability value distributes the first weighting coefficient, is the second reliability
Metric distributes the second weighting coefficient and distributes third weighting coefficient, the first weighting coefficient, for third degree of reiability value
Two weighting coefficients and third weighting coefficient and value be 1.The size of weighting coefficient and the size of metric are positively correlated, Ye Jidu
Magnitude is bigger, and the weighting coefficient distributed is bigger.
For example, the first degree of reiability value is maximum, the second degree of reiability value is taken second place, and third degree of reiability value is minimum,
Then the first weighting coefficient for the distribution of the first degree of reiability value is 0.7, for the second weighting of the second degree of reiability value distribution
Coefficient is 0.2, be third degree of reiability value distribution third weighting coefficient be 0.1.
It, can be according to actual application scenarios come for three degree of reiability values it is understood that in practical applications
Weights assigned coefficient respectively.
First weighting coefficient is multiplied with the first interference with noise covariance matrix, obtains the first product；By the second weighting
Coefficient is multiplied with the second interference with noise covariance matrix, obtains the second product；Third weighting coefficient is interfered and made an uproar with third
Sound covariance matrix is multiplied, and obtains third product.By the first product, the second product and third product addition, obtain and value
It can be used as compensated first interference and noise covariance matrix.
In specific implementation, when calculating the first degree of reiability value, the first interference and noise covariance matrix are first calculated
All elements product on leading diagonal, and the real part of the product obtained is as real1.Later, the first interference and noise are obtained
The counter-diagonal element of 2*2 matrix on covariance matrix leading diagonal, calculates the product of acquired counter-diagonal element, and takes
The real part of obtained product is as real2.Real1 and real2 is subjected to division arithmetic, obtained quotient is as the first reliability
Metric.
By taking two receiving antennas as an example, then the first interference and the noise covariance matrix being calculated are following formula (10):
Wherein, RproposedFor the first interference being calculated and noise covariance matrix.
First interference and the element on noise covariance matrix leading diagonal are as follows: rp11And rp22, calculate rp11With rp22's
Product, the real part of the product obtained is as real1.First interference and the 2*2 matrix on noise covariance matrix leading diagonal
For RproposedItself, RproposedSecondary diagonal element be rp12And rp21, calculate rp12With rp21Product, the product obtained
Real part as real2.The first degree of reiability value being then calculated are as follows: metric1=real1/real2.
By taking four receiving antennas as an example, then the first interference and the noise covariance matrix being calculated are following formula (11):
In formula (11), the first interference is r with the element on noise covariance matrix leading diagonalp11、rp22、rp33And
rp44, calculate rp11*rp22*rp33*rp44, and the real part of the product obtained is as real1, it may be assumed that real1=real (rp11*rp22*
rp33*rp44), real (rp11*rp22*rp33*rp44) it is to seek rp11*rp22*rp33*rp44Real part.
First interference with the 2*2 matrix on noise covariance matrix leading diagonal includes:AndWherein, matrixCounter-diagonal on element be rp12And rp21, matrix
Counter-diagonal on element be rp34And rp43.Calculate rp12*rp21*rp34*rp43, and the real part conduct of the product obtained
Real2, it may be assumed that real2=real (rp12*rp21*rp34*rp43)。
At this point, the first degree of reiability value are as follows:
Metric1=real1/real2=real (rp11*rp22*rp33*rp44)/real(rp12*rp21*rp34*rp43)。
In specific implementation, when calculating the second degree of reiability value, the second interference and noise covariance matrix are first calculated
All elements product on leading diagonal, and the real part of the product obtained is as real3.Later, the second interference and noise are obtained
The counter-diagonal element of 2*2 matrix on covariance matrix leading diagonal, calculates the product of acquired counter-diagonal element, and takes
The real part of obtained product is as real4.Real3 and real4 is subjected to division arithmetic, obtained quotient is as the second reliability
Metric.
When calculating third degree of reiability value, first calculates third interference and own on noise covariance matrix leading diagonal
Element product, and the real part of the product obtained is as real5.Later, third interference and noise covariance matrix master couple are obtained
The counter-diagonal element of 2*2 matrix on linea angulata calculates the product of acquired counter-diagonal element, and the reality of the product obtained
Portion is as real6.Real5 and real6 is subjected to division arithmetic, obtained quotient is as third degree of reiability value.
Specifically, the calculating of the second degree of reiability value and the calculating of third degree of reiability value are referred to the present invention
The calculating of the first degree of reiability value provided in above-described embodiment, is not repeated herein.
Referring to Fig. 2, one of embodiment of the present invention mobile terminal 20 is given, comprising: the first computing unit 201, the
Two computing units 202, interference and noise covariance matrix determination unit 203, in which:
First computing unit 201, the corresponding auto-correlation of signal for being received described in calculating according to the signal that receives
Matrix；
Second computing unit 202, the corresponding autocorrelation matrix of service signal sent for calculating the serving cell；
Interference and noise covariance matrix determination unit 203, for by the corresponding auto-correlation square of the signal received
Battle array autocorrelation matrix corresponding with the service signal that the serving cell is sent subtracts each other, and obtained difference is as the mobile terminal
First interference and noise covariance matrix.
In specific implementation, first computing unit 201, can be used for calculating using following formula described in receive
The corresponding autocorrelation matrix of signal:
Wherein, R1 is the corresponding autocorrelation matrix of signal received, and K is to calculate first interference to assist with noise
Business RE number, r needed for variance matrixkFor the signal received, rk *For rkConjugation,ρSFor the service signal transmission power and pilot signal of serving cell
The ratio of transmission power, ρIFor the service signal transmission power of interfered cell and the ratio of emission power of pilot signal,For kth
The pre-coding matrix of the corresponding serving cell of a business RE,For the precoding square of the corresponding interfered cell k-th of business RE
Battle array,To estimate the obtained corresponding serving cell channel matrix of k-th of business RE,To estimate k-th obtained
The corresponding interfered cell channel matrix of business RE,For the service signal of the corresponding serving cell of k-th of business RE,For kth
The service signal of the corresponding interfered cell a business RE, nkFor the corresponding noise of k-th of business RE, 1≤k≤K.
In specific implementation, second computing unit 202 can be used for calculating the serving cell using following formula
The corresponding autocorrelation matrix of the service signal of transmission:
Wherein, R2 is the corresponding autocorrelation matrix battle array of service signal that the serving cell is sent.
In specific implementation, the mobile terminal 20 can also include: compensating unit 204, for obtaining described first
Interference compensates first interference with noise covariance matrix with after noise covariance matrix.
In specific implementation, the compensating unit 204 can be used for estimating to obtain according to the pilot signal received described
Second interference of mobile terminal and noise covariance matrix；According to the service signal of the interfered cell in the signal received
And noise signal, estimation obtain third interference and the noise covariance matrix of the mobile terminal；Calculate separately described first
Interference is interfered corresponding with noise covariance matrix with the corresponding first degree of reiability value of noise covariance matrix, described second
Second degree of reiability value and the third interfere third degree of reiability value corresponding with noise covariance matrix；Respectively
The first degree of reiability value distributes the first weighting coefficient, the second weighting coefficient is distributed for the second degree of reiability value with
And third weighting coefficient is distributed for the third degree of reiability value；First weighting coefficient, second weighting coefficient with
The sum of described third weighting coefficient is 1；First weighting coefficient is multiplied with first interference with noise covariance matrix,
The first product is obtained, second weighting coefficient is multiplied with second interference with noise covariance matrix, second is obtained and multiplies
The third weighting coefficient is interfered with the third and is multiplied with noise covariance matrix, obtains third product by product；Described in calculating
First product, second product and the third sum of products, as compensated first interference and noise covariance square
Battle array.
In specific implementation, the compensating unit 204 can be used for estimating to obtain the mobile terminal using following formula
Second interference and noise covariance matrix:
Wherein, Rnormal,1For second interference and noise covariance matrix, K is to calculate second interference to assist with noise
Pilot tone RE number, r needed for variance matrixkFor the signal received and
To estimate the obtained corresponding serving cell channel matrix of k-th of pilot tone RE,To estimate RE pairs of k-th of pilot tone obtained
The interfered cell channel matrix answered,For the pilot signal of the corresponding serving cell of k-th of pilot tone RE,For k-th of pilot tone RE
The pilot signal of corresponding interfered cell, nkFor the corresponding noise of k-th of pilot tone RE,For
Conjugate transposition, 1≤k≤K.
In specific implementation, the compensating unit 204 can be used for estimating to obtain the mobile terminal using following formula
Third interference and noise covariance matrix:
Wherein, Rnormal,2For third interference and noise covariance matrix, K is to calculate the third interference to assist with noise
Business RE number needed for variance matrix,To estimate the obtained corresponding serving cell channel matrix of k-th of business RE,To estimate the obtained corresponding interfered cell channel matrix of k-th of business RE, ρIFor the service signal of the interfered cell
The ratio of transmission power and emission power of pilot signal,For the pre-coding matrix of the corresponding interfered cell k-th of business RE, Rn
For the corresponding covariance matrix of noise on k-th of business RE.
In specific implementation, described to calculate the first degree of reiability value, comprising: to calculate first interference and noise
All elements product and real part real1 is taken on covariance matrix leading diagonal；Obtain first interference and noise covariance square
The counter-diagonal element of 2*2 matrix on battle array leading diagonal, calculates the product of the acquired counter-diagonal element and takes real part
real2；Real1 and real2 is subjected to division arithmetic, obtained quotient is as the first degree of reiability value.
In specific implementation, described to calculate the second degree of reiability value, comprising: to calculate second interference and noise
All elements product and real part real3 is taken on covariance matrix leading diagonal；Obtain second interference and noise covariance square
The counter-diagonal element of 2*2 matrix on battle array leading diagonal, calculates the product of the acquired counter-diagonal element and takes real part
real4；Real3 and real4 is subjected to division arithmetic, obtained quotient is as the second degree of reiability value.
In specific implementation, described to calculate the third degree of reiability value, comprising: to calculate the third interference and noise
All elements product and real part real5 is taken on covariance matrix leading diagonal；Obtain the third interference and noise covariance square
The counter-diagonal element of 2*2 matrix on battle array leading diagonal, calculates the product of the acquired counter-diagonal element and takes real part
real6；Real5 and real6 is subjected to division arithmetic, obtained quotient is as the third degree of reiability value.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer instruction, described
Computer instruction can execute the interference noise estimation method of the mobile terminal provided in the above embodiment of the present invention when running
Step.
The embodiment of the invention also provides a kind of mobile terminal, including memory and processor, stored on the memory
There is the computer instruction that can be run on a processor, the processor can execute in the present invention when running the computer instruction
The step of interference noise estimation method of the mobile terminal provided in embodiment is provided.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include: ROM, RAM, disk or CD etc..
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (22)
1. a kind of interference noise estimation method of mobile terminal characterized by comprising
According to the signal received, the corresponding autocorrelation matrix of the signal received described in calculating；
Calculate the corresponding autocorrelation matrix of service signal that serving cell is sent；
The corresponding autocorrelation matrix of the signal received is corresponding with the service signal that the serving cell is sent from phase
It closes matrix to subtract each other, first interference and noise covariance matrix of the obtained difference as the mobile terminal.
2. the interference noise estimation method of mobile terminal as described in claim 1, which is characterized in that calculated using following formula
The corresponding autocorrelation matrix of signal received:
Wherein, R1 is the corresponding autocorrelation matrix of signal received, and K is calculating first interference and noise covariance matrix institute
The business RE number needed, rkFor the signal received, rk *For rkConjugation,
ρSFor the service signal transmission power of serving cell and the ratio of emission power of pilot signal, ρIFor the service signal of interfered cell
The ratio of transmission power and emission power of pilot signal,For the pre-coding matrix of the corresponding serving cell of k-th of business RE,For the pre-coding matrix of the corresponding interfered cell k-th of business RE,To estimate that k-th obtained of business RE is corresponding
Serving cell channel matrix,To estimate the obtained corresponding interfered cell channel matrix of k-th of business RE,It is k-th
The service signal of the corresponding serving cell of business RE,For the service signal of the corresponding interfered cell k-th of business RE, nkIt is
The corresponding noise of k business RE, 1≤k≤K.
3. the interference noise estimation method of mobile terminal as claimed in claim 2, which is characterized in that calculated using following formula
The corresponding autocorrelation matrix of service signal that the serving cell is sent:
Wherein, R2 is the corresponding autocorrelation matrix of service signal that the serving cell is sent.
4. the interference noise estimation method of mobile terminal as described in claim 1, which is characterized in that obtaining the movement eventually
After first interference at end and noise covariance matrix, further includes:
First interference is compensated with noise covariance matrix.
5. the interference noise estimation method of mobile terminal as claimed in claim 4, which is characterized in that described dry to described first
It disturbs and is compensated with noise covariance matrix, comprising:
Estimated to obtain the second interference and the noise covariance matrix of the mobile terminal according to the pilot signal received；
According to the service signal and noise signal of the interfered cell in the signal received, estimation obtains described mobile whole
The third at end is interfered and noise covariance matrix；
Calculate separately corresponding with noise covariance matrix the first degree of reiability value of first interference, second interference and
The corresponding second degree of reiability value of noise covariance matrix and third interference corresponding with noise covariance matrix the
Three degree of reiability values；
The respectively described first degree of reiability value distributes the first weighting coefficient, distributes second for the second degree of reiability value
Weighting coefficient and for the third degree of reiability value distribute third weighting coefficient；First weighting coefficient, described second
The sum of weighting coefficient and the third weighting coefficient are 1；
First weighting coefficient is multiplied with first interference with noise covariance matrix, obtains the first product,
Second weighting coefficient is multiplied with second interference with noise covariance matrix, obtains the second product,
The third weighting coefficient is interfered with the third and is multiplied with noise covariance matrix, third product is obtained；Calculate institute
The first product, second product and the third sum of products are stated, as compensated first interference and noise covariance
Matrix.
6. the interference noise estimation method of mobile terminal as claimed in claim 5, which is characterized in that estimated using following formula
Obtain the second interference and the noise covariance matrix of the mobile terminal:
Wherein, Rnormal,1For second interference and noise covariance matrix, K is to calculate second interference and noise covariance
Pilot tone RE number, r needed for matrixkFor the signal received and To estimate
The obtained corresponding serving cell channel matrix of k-th of pilot tone RE is counted,To estimate that k-th obtained of pilot tone RE is corresponding
Interfered cell channel matrix,For the pilot signal of the corresponding serving cell of k-th of pilot tone RE,It is corresponding for k-th of pilot tone RE
Interfered cell pilot signal, nkFor the corresponding noise of k-th of pilot tone RE,ForBe total to
Yoke transposition, 1≤k≤K.
7. the interference noise estimation method of mobile terminal as claimed in claim 5, which is characterized in that estimated using following formula
Obtain third interference and the noise covariance matrix of the mobile terminal:
Wherein, Rnormal,2For third interference and noise covariance matrix, K is to calculate the third interference and noise covariance
Business RE number needed for matrix,To estimate the obtained corresponding serving cell channel matrix of k-th of business RE,
To estimate the obtained corresponding interfered cell channel matrix of k-th of business RE, ρIEmit for the service signal of the interfered cell
The ratio of power and emission power of pilot signal,For the pre-coding matrix of the corresponding interfered cell k-th of business RE, RnIt is
The corresponding covariance matrix of noise on k business RE.
8. the interference noise estimation method of mobile terminal as claimed in claim 5, which is characterized in that described to calculate described first
Degree of reiability value, comprising:
It calculates all elements product on first interference and noise covariance matrix leading diagonal and takes real part real1；
The counter-diagonal element of first interference and 2*2 matrix on noise covariance matrix leading diagonal is obtained, calculating is obtained
The product of the counter-diagonal element taken simultaneously takes real part real2；
Real1 and real2 is subjected to division arithmetic, obtained quotient is as the first degree of reiability value.
9. the interference noise estimation method of mobile terminal as claimed in claim 5, which is characterized in that described to calculate described second
Degree of reiability value, comprising:
It calculates all elements product on second interference and noise covariance matrix leading diagonal and takes real part real3；
The counter-diagonal element of second interference and 2*2 matrix on noise covariance matrix leading diagonal is obtained, calculating is obtained
The product of the counter-diagonal element taken simultaneously takes real part real4；
Real3 and real4 is subjected to division arithmetic, obtained quotient is as the second degree of reiability value.
10. the interference noise estimation method of mobile terminal as claimed in claim 5, which is characterized in that described to calculate described the
Three degree of reiability values, comprising:
It calculates all elements product on the third interference and noise covariance matrix leading diagonal and takes real part real5；
The counter-diagonal element of the third interference and 2*2 matrix on noise covariance matrix leading diagonal is obtained, calculating is obtained
The product of the counter-diagonal element taken simultaneously takes real part real6；
Real5 and real6 is subjected to division arithmetic, obtained quotient is as the third degree of reiability value.
11. a kind of mobile terminal characterized by comprising
First computing unit, the corresponding autocorrelation matrix of signal for being received described in calculating according to the signal that receives；
Second computing unit, for calculating the corresponding autocorrelation matrix of service signal of serving cell transmission；
Interference with noise covariance matrix determination unit, for by the corresponding autocorrelation matrix of the signal received with it is described
The corresponding autocorrelation matrix of service signal that serving cell is sent subtracts each other, and obtained difference is first dry as the mobile terminal
It disturbs and noise covariance matrix.
12. mobile terminal as claimed in claim 11, which is characterized in that first computing unit, for using following public
The corresponding autocorrelation matrix of signal received described in formula calculating:
Wherein, R1 is the corresponding autocorrelation matrix of signal received, and K is calculating first interference and noise covariance matrix institute
The business RE number needed, rkFor the signal received, rk *For rkConjugation,
ρSFor the service signal transmission power of serving cell and the ratio of emission power of pilot signal, ρIFor the service signal of interfered cell
The ratio of transmission power and emission power of pilot signal,For the pre-coding matrix of the corresponding serving cell of k-th of business RE,For the pre-coding matrix of the corresponding interfered cell k-th of business RE,To estimate that k-th obtained of business RE is corresponding
Serving cell channel matrix,To estimate the obtained corresponding interfered cell channel matrix of k-th of business RE,It is k-th
The service signal of the corresponding serving cell of business RE,For the service signal of the corresponding interfered cell k-th of business RE, nkIt is
The corresponding noise of k business RE, 1≤k≤K.
13. mobile terminal as claimed in claim 12, which is characterized in that second computing unit, for using following public
Formula calculates the corresponding autocorrelation matrix of service signal that the serving cell is sent:
Wherein, R2 is the corresponding autocorrelation matrix of service signal that the serving cell is sent.
14. mobile terminal as claimed in claim 11, which is characterized in that further include: compensating unit, for obtaining described
One interference compensates first interference with noise covariance matrix with after noise covariance matrix.
15. mobile terminal as claimed in claim 14, which is characterized in that the compensating unit, for being led according to what is received
Frequency signal is estimated to obtain the second interference of the mobile terminal and noise covariance matrix；According in the signal received
The service signal and noise signal of interfered cell, estimation obtain third interference and the noise covariance square of the mobile terminal
Battle array；Calculate separately corresponding with noise covariance matrix the first degree of reiability value of first interference, second interference and
The corresponding second degree of reiability value of noise covariance matrix and third interference corresponding with noise covariance matrix the
Three degree of reiability values；The respectively described first degree of reiability value distributes the first weighting coefficient, is the second reliability degree
Magnitude distributes the second weighting coefficient and distributes third weighting coefficient for the third degree of reiability value；First weighting system
The sum of several, described second weighting coefficient and the third weighting coefficient are 1；By first weighting coefficient and first interference
It is multiplied with noise covariance matrix, obtains the first product, by second weighting coefficient and second interference and noise association side
Poor matrix multiple obtains the second product, and the third weighting coefficient is interfered with the third and is multiplied with noise covariance matrix,
Obtain third product；First product, second product and the third sum of products are calculated, as compensated
One interference and noise covariance matrix.
16. mobile terminal as claimed in claim 15, which is characterized in that the compensating unit, for being estimated using following formula
Meter obtains the second interference and the noise covariance matrix of the mobile terminal:
Wherein, Rnormal,1For second interference and noise covariance matrix, K is to calculate second interference and noise covariance
Pilot tone RE number, r needed for matrixkFor the signal received and To estimate
The obtained corresponding serving cell channel matrix of k-th of pilot tone RE is counted,To estimate that k-th obtained of pilot tone RE is corresponding
Interfered cell channel matrix,For the pilot signal of the corresponding serving cell of k-th of pilot tone RE,It is corresponding for k-th of pilot tone RE
Interfered cell pilot signal, nkFor the corresponding noise of k-th of pilot tone RE,ForBe total to
Yoke transposition, 1≤k≤K.
17. mobile terminal as claimed in claim 15, which is characterized in that the compensating unit, for being estimated using following formula
Meter obtains third interference and the noise covariance matrix of the mobile terminal:
Wherein, Rnormal,2For third interference and noise covariance matrix, K is to calculate the third interference and noise covariance
Business RE number needed for matrix,To estimate the obtained corresponding serving cell channel matrix of k-th of business RE,
To estimate the obtained corresponding interfered cell channel matrix of k-th of business RE, ρIEmit for the service signal of the interfered cell
The ratio of power and emission power of pilot signal,For the pre-coding matrix of the corresponding interfered cell k-th of business RE, RnIt is
The corresponding covariance matrix of noise on k business RE.
18. mobile terminal as claimed in claim 15, which is characterized in that described to calculate the first degree of reiability value, packet
It includes:
It calculates all elements product on first interference and noise covariance matrix leading diagonal and takes real part real1；
The counter-diagonal element of first interference and 2*2 matrix on noise covariance matrix leading diagonal is obtained, calculating is obtained
The product of the counter-diagonal element taken simultaneously takes real part real2；
Real1 and real2 is subjected to division arithmetic, obtained quotient is as the first degree of reiability value.
19. mobile terminal as claimed in claim 15, which is characterized in that described to calculate the second degree of reiability value, packet
It includes:
It calculates all elements product on second interference and noise covariance matrix leading diagonal and takes real part real3；
The counter-diagonal element of second interference and 2*2 matrix on noise covariance matrix leading diagonal is obtained, calculating is obtained
The product of the counter-diagonal element taken simultaneously takes real part real4；
Real3 and real4 is subjected to division arithmetic, obtained quotient is as the second degree of reiability value.
20. mobile terminal as claimed in claim 15, which is characterized in that described to calculate the third degree of reiability value, packet
It includes:
It calculates all elements product on the third interference and noise covariance matrix leading diagonal and takes real part real5；
The counter-diagonal element of the third interference and 2*2 matrix on noise covariance matrix leading diagonal is obtained, calculating is obtained
The product of the counter-diagonal element taken simultaneously takes real part real6；
Real5 and real6 is subjected to division arithmetic, obtained quotient is as the third degree of reiability value.
21. a kind of computer readable storage medium, is stored thereon with computer instruction, which is characterized in that the computer instruction
Perform claim requires the step of interference noise estimation method of 1~10 described in any item mobile terminals when operation.
22. a kind of mobile terminal, including memory and processor, it is stored with and can runs on the processor on the memory
Computer instruction, which is characterized in that perform claim requires any one of 1~10 when the processor runs the computer instruction
The step of interference noise estimation method of the mobile terminal.
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| WO2002043270A2 (en) * | 2000-11-22 | 2002-05-30 | Telefonaktiebolaget Lm Ericsson (Publ) | Determinant-based synchronization techniques and systems |
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